{"id":"W3036859149","doi":"10.1002/aic.16538","title":"Subspace based model identification for missing data","year":2020,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Missing data; Subspace topology; Singular value decomposition; Imputation (statistics); Leverage (statistics); Computer science; Partial least squares regression; System identification; Data mining; Algorithm; Identification (biology); Nonlinear system; Mathematical optimization; Mathematics; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002362506,0.0008490009,0.001432959,0.0007706581,0.0005912168,0.0008581615,0.001246811,0.0008528624,0.002114824],"category_scores_gemma":[0.006556083,0.0004800984,0.0008383117,0.0008905407,0.0007265717,0.001181146,0.001227332,0.001662097,0.000514765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005582958,"about_ca_system_score_gemma":0.001524488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004534758,"about_ca_topic_score_gemma":0.003085977,"domain_scores_codex":[0.9986768,0.0006877935,0.00004809755,0.000189258,0.0003204555,0.00007751932],"domain_scores_gemma":[0.9970453,0.001873432,0.0002338501,0.0003483034,0.0004587029,0.00004048631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004527496,0.00002552029,0.0003652604,0.00006526804,0.00005600018,0.00005971549,0.00005450016,0.9484997,0.0009514707,0.01274943,0.000612946,0.03651492],"study_design_scores_gemma":[0.000001511845,0.000006221679,0.00004225419,0.00000256474,0.000001821985,0.000007385848,0.000004426716,0.9963673,0.0002492171,0.003139514,0.000174757,0.000002911924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003297766,0.00005548593,0.9959942,0.00004431007,0.00001008934,0.00001026872,0.00002575052,0.0002077044,0.0003544226],"genre_scores_gemma":[0.6109723,0.0003208661,0.3842345,0.000112784,0.0000493197,0.0002783348,0.0005064469,0.0001549861,0.003370427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004534758,"threshold_uncertainty_score":0.01249427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701114018081966,"score_gpt":0.2774229385715245,"score_spread":0.2073115367633279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}